Role: Principal / Lead Data Architect (AWS Focus)
Location: Bangalore

ONLY IMMEDIATE TO 20 DAYS JOINERS

Role Overview

Mandatory Skills

- Databricks
- Python
- Scala
- SQL
- Snowflake
- Structured Streaming
- Apache Kafka
- Apache Flink / AWS Kinesis

Key Responsibilities

- Design end-to-end, scalable, secure, and highly available data architectures using Databricks and Snowflake.
- Architect, optimize, and deploy batch and streaming ETL/ELT pipelines.
- Build enterprise-scale cloud data platforms within the AWS ecosystem.
- Develop robust data ingestion frameworks using Databricks APIs, REST, and GraphQL APIs.
- Design real-time streaming solutions using Kafka, Flink, or AWS Kinesis.
- Implement modern and traditional data warehouse models (Kimball, Inmon, Star/Snowflake schemas).
- Provide technical leadership, governance, and mentor engineering teams.
- Collaborate with Data Science and AI teams to support LLMs, ML pipelines,



and advanced analytics.

Required Technical Expertise

- Strong hands-on experience with Databricks Lakehouse, Delta Lake, and Unity Catalog.
- Expertise in distributed data pipelines using Python, Scala, and SQL.
- Deep knowledge of Snowflake architecture, performance tuning, and cost optimization.
- Experience with real-time streaming technologies:
- Apache Kafka
- Apache Flink
- AWS Kinesis

- Robust knowledge of relational databases and NoSQL ecosystems.

This is a Principal/Lead Data Architect role focused on AWS, Databricks, Snowflake, and Real-Time Data Engineering, requiring 10+ years of experience with strong architecture and leadership capabilities.

Please share your updated CV to [email protected]

📌 Principal / Lead Data Architect (AWS Focus) (Bengaluru)
🏢 Tekskills
📍 Bengaluru